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利用多种长丝和来自消费前织物废料的回收棉开发可持续双芯纺纱线。

Development of sustainable dual core-spun yarns using several filaments and recycled cotton sourced from pre-consumer fabric waste.

作者信息

Habib Ahsan, Mamun Md Abdullah Al, Babaarslan Osman

机构信息

Department of Textile Engineering Management, Bangladesh University of Textiles, Dhaka, 1208, Bangladesh.

Cukurova University, Department of Textile Engineering, 01250, Bacali, Adana, Turkey.

出版信息

Heliyon. 2024 Apr 16;10(9):e29392. doi: 10.1016/j.heliyon.2024.e29392. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e29392
PMID:38694041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11061697/
Abstract

Textile industries are now focusing on sustainable issues in manufacturing operations to save the environment. The study focuses on the use of cotton fibers (recycled) sourced from fabric (knitted) waste (pre-consumer) to manufacture elastic yarn (dual-core) for denim fabric. The study involves the production of yarns (dual-core) using a redesigned ring spinning method with different elastomeric components, including T400® (Polyethylene terephthalate)/Polytrimethylene terephthalate), Polybutylene terephthalate (PBT), Polyester (PES), Lycra® (elastane), virgin cotton and cotton (recycled) fiber. The study investigates various yarn (Ne 18/1) characteristics such as strength, IPI (imperfection index), elongation %, unevenness %, and hairiness. It is noticed that the elongation and strength of recycled yarn (double core) are lower and IPI (Imperfection index), unevenness %, and hairiness values are higher than 100 % cotton (virgin) yarn (double core). One-way ANOVA (statistical analysis) is employed to assess the significance of differences among yarns manufactured from various core materials and found significant variation for all characteristics. Additionally, the article introduces the MOORA (multi-objective optimization based on ratio analysis) technique as a decision-making tool to determine the best yarn among three alternatives (PES yarn, PBT yarn, and T400 yarn) based on their properties, considering attributes and finding T400 filament containing yarn as the best option. The study introduces a sustainable approach using recycled cotton in yarn (double core) production and employs decision-making tools to assess and rank the performance of different yarn alternatives.

摘要

纺织行业目前正专注于制造运营中的可持续发展问题,以保护环境。该研究聚焦于使用从(针织)织物废料(消费前)中获取的(回收)棉纤维来制造牛仔布用弹性纱线(双芯)。该研究涉及采用重新设计的环锭纺方法,使用不同的弹性体成分生产纱线(双芯),这些成分包括T400®(聚对苯二甲酸乙二酯/聚对苯二甲酸丙二酯)、聚对苯二甲酸丁二醇酯(PBT)、聚酯(PES)、莱卡®(氨纶)、原棉和(回收)棉纤维。该研究调查了各种纱线(18英支/1)的特性,如强度、IPI(不匀率指数)、伸长率%、不匀度%和毛羽。值得注意的是,回收纱线(双芯)的伸长率和强度较低,而IPI(不匀率指数)、不匀度%和毛羽值高于100%纯棉(原棉)纱线(双芯)。采用单向方差分析(统计分析)来评估由各种芯材制造的纱线之间差异的显著性,结果发现所有特性均存在显著差异。此外,本文介绍了MOORA(基于比率分析的多目标优化)技术,作为一种决策工具,根据三种替代纱线(PES纱线、PBT纱线和T400纱线)的性能、考虑属性来确定最佳纱线,并发现含T400长丝的纱线是最佳选择。该研究介绍了一种在纱线(双芯)生产中使用回收棉的可持续方法,并采用决策工具来评估和排名不同纱线替代品的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/d8171fe95edd/fx6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/bb65aea06d32/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/9e97fd633f44/fx3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/ce6b2f9b4eaa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/0da9e7ea6971/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/bf9ecd01af6a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/558f370d2673/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/fd7a2ea49cf2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/26ccbb2de8bc/fx4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/f5cd2ab3ea28/fx5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/d8171fe95edd/fx6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/bb65aea06d32/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/ea159d0160ae/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/23bad6e6adef/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/9e97fd633f44/fx3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/ce6b2f9b4eaa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/0da9e7ea6971/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/bf9ecd01af6a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/558f370d2673/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/fd7a2ea49cf2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/26ccbb2de8bc/fx4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/f5cd2ab3ea28/fx5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/766d/11061697/d8171fe95edd/fx6.jpg

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Heliyon. 2023 Apr 23;9(5):e15697. doi: 10.1016/j.heliyon.2023.e15697. eCollection 2023 May.